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Topic Categorisation of Statements in Suicide Notes with Integrated Rules and Machine Learning

We describe and evaluate an automated approach used as part of the i2b2 2011 challenge to identify and categorise statements in suicide notes into one of 15 topics, including Love, Guilt, Thankfulness, Hopelessness and Instructions. The approach combines a set of lexico-syntactic rules with a set of...

Täydet tiedot

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Bibliografiset tiedot
Päätekijät: Kovačević, Aleksandar, Dehghan, Azad, Keane, John A., Nenadic, Goran
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Libertas Academica 2012
Aiheet:
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC3409492/
https://ncbi.nlm.nih.gov/pubmed/22879767
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4137/BII.S8978
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